Freelance AI Evaluation Engineer (Python/Full-Stack)
Mindrift offers a project-based remote opportunity for experienced software professionals to create and refine advanced coding test cases for AI systems. Contributors work flexibly, crafting realistic coding challenges, writing comprehensive functional tests, and analyzing AI failures, with guidance from expert reviewers. This freelance engagement estimates approximately 20 hours of work per project, compensating up to $45/hour, with payments based on quality and pace.
Ideal candidates have a degree in Computer Science or related field, 5+ years of software development experience (primarily in Python), full-stack skills including React and backend development, strong test writing abilities, and familiarity with Docker and CI/CD pipelines (esp. GitHub Actions). English proficiency at B2 or above is required.
Participants are free to manage their own schedules but must meet project deadlines and quality criteria for acceptance and payment. Compensation varies by project scope and expertise required. This role suits professionals seeking flexible, impactful AI-focused work without long-term employment commitments.
Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.
What this opportunity involves
You’ll create challenging coding test cases that push AI coding systems to their limits:
- Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources
- Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks
- Craft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required)
- Analyze AI failures to understand what the model struggles with vs. what it masters
- Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria
What we look for
This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:
- Degree in Computer Science, Software Engineering or related fields
- 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations)
- Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems
- Experience writing tests (functional, integration – not just running them)
- Docker containers (running evaluations locally in containers)
- CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results)
- English proficiency - B2
How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Effort estimate
Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Compensation
On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
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